Computer Science
8 years ago

New method protects key estimators in data analysis, ensuring accurate results.

ML Inference in the Presence of Incidental Parameters
Russell B. Millar

Paper Summary

Related papers

Theme background image
Mathematics
5 years ago

Revolutionizing Estimation: Maximum Likelihood Method Unlocks Most Efficient Parameter Estimates

Regularization Methods
Genomic Selection
2 views
Theme background image
Mathematics
7 years ago

Unlocking the Power of Maximum Likelihood Estimation for Accurate Parameter Estimation

Missing Data
Model-Based Clustering
Multicollinearity
2 views
Theme background image
Environmental Science
8 years ago

New likelihood methods promise more accurate statistical analysis for complex data.

Soil Mapping
Least Squares
Multicollinearity
2 views

The article discusses a method to protect certain estimations in statistics from being affected by other estimations. It focuses on using a modified likelihood function to analyze specific parameters separately. The chapter demonstrates how this method can be applied to paired data analysis, showing that it is a useful tool in statistical modeling.